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Added 14 mins ago
A
Senior AI Architect
AltaML
AB · Toronto, ON · Calgary, AB
- Full-time
As a Senior AI Architect, you are a principal-level technical and strategic leader responsible for designing, deploying, and scaling agentic AI solutions in production environments.
Added 14 mins ago
SL
Director, Domain Enterprise Architect, Technology Modernization and Cloudification
Sun Life
Toronto, ON · Waterloo, ON · Montreal, QC · Sun Life Toronto One York
- Full-time
…Architects, engineering leaders, cybersecurity, cloud engineering, AI platform teams, and application development, the Director aligns cloud migration with enterprise priorities, regulatory…
Added 14 mins ago
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Product Business Analyst Intern - Winter 2027
McKesson
Mississauga, ON
- Full-time
Reporting to the Senior Manager, Product Innovation, the Business Analyst will play a key role in shaping and delivering a new digital platform within McKesson Canada's Specialty Health…
Added 28 mins ago
Q
Sales Development (SDR) Manager
Quadient
Markham, ON
- $90,000 to $130,000 CAD / year
- Full-time
…follow-through. You'll use call quality, activity and conversion data to spot exactly where someone is stuck, then coach the skill that moves the number. You'll address issues early, and…
Added 30 mins ago
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Développeur Logiciel Principal.e, Plan de Contrôle - Laboratoire d'IA Souveraine
Mila - Institut québécois d'intelligence artificielle
Montreal, QC
- Full-time
…govern, and understand the assembled stack. Reporting to the Senior Director of Engineering, you will lead the architecture and hands-on implementation of the control-plane APIs, services,…
Added 30 mins ago
Agentic AI Software Backend & Platform Engineer
Siemens
Kitchener, ON
…Operations Software to help build and scale our Agentic AI platform. The role focuses on solid backend engineering, AI/ML engineering, pipeline development, data processing, and production…
Added 45 mins ago
Dynamics/Powerplatform engineer
Capgemini
Montreal, QC
We are looking for a Senior Microsoft power platform Engineer, who is familiar with AI Builder and Co-Pilots as well as Dynamics and Power Apps. The ideal candidate will have experience…
Added 45 mins ago
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Journalist - Housing (Full-time)
Torstar
Toronto, ON
- Full-time
…customer-centric obsession, continued journalistic excellence, advanced data-driven competency and a culture that is selfless, focused, agile, collaborative and results driven. The…
Added 58 mins ago
A
Senior AI Architect
AltaML
Toronto, ON
- $100,000 to $150,000 CAD / year
- Full-time
As a Senior AI Architect, you are a principal-level technical and strategic leader responsible for designing, deploying, and scaling agentic AI solutions in production environments.
Added 58 mins ago
A
Senior AI Architect
AltaML
AB · Edmonton, AB
- $100,000 to $150,000 CAD / year
- Full-time
As a Senior AI Architect, you are a principal-level technical and strategic leader responsible for designing, deploying, and scaling agentic AI solutions in production environments.
Added 58 mins ago
A
Senior AI Architect
AltaML
Calgary, AB
- $100,000 to $150,000 CAD / year
- Full-time
As a Senior AI Architect, you are a principal-level technical and strategic leader responsible for designing, deploying, and scaling agentic AI solutions in production environments.
Added 1 hour ago
Senior Manager, Software Engineering
Questrade Financial Group
Toronto, ON
We’re looking for our next Senior Manager, Software Engineering. Could It Be You?
Added 1 hour ago
SM
RQ11645 – Software Developer – Full Stack – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Full Stack Software Developer with demonstrated experience designing, developing, testing, and supporting enterprise web applications and AI-enabled solutions. The…
Added 1 hour ago
U
Senior BI Developer
Unity
Montreal, QC
- Full-time
…enabling the success of our community.Unity is looking for a Senior Business Intelligence Developer to join our People Analytics team. You'll own the data foundation that the People…
Added 1 hour ago
Senior Machine Learning Engineer, Recommendations
Lyft
Toronto, ON
With a billion rides per year and counting, Lyft is solving hard problems in a rapidly growing domain with a lot of data and creative solutions in Rider, Marketplace, Growth, and beyond.…
Added 1 hour ago
Senior Software Engineer, Full-Stack Applications - Python
Fitch Group
Toronto, ON
Senior Software Engineer, Full-Stack Applications – Python
Added 1 hour ago
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Senior Cloud Engineer -Hybrid
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Are you passionate about building scalable, secure, and modern cloud solutions? We're looking for a Senior Cloud Engineer who can combine deep technical expertise with business insight to…
Added 1 hour ago
R
VP, Strategy and Operations
RELX
Toronto, ON
- Full-time
…operational mindset in equal measure, deep functional expertise, a data and technology driven approach, and the ability to lead through influence rather than direct line…
Added 1 hour ago
K
Senior Web Developer (Full Stack)
Klick
Toronto, ON
- Full-time
The Senior Web Developer builds and delivers production web experiences and supporting services for life sciences brands as part of Klick’s Full Stack + AI team. The role combines deep web…
Added 2 hours ago
UC
Manager, E-Commerce Merchandise Planning
Uniqlo Canada
Toronto, ON
- $105,000 to $121,000 CAD / year
- Full-time
…assortment strategies for the UNIQLO Canada Digital-Commerce platform. This pivotal position assumes full end-to-end accountability for the digital merchandising plan, including strategic…
Added 2 hours ago
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Senior Greenfield Full Stack Developer (Builder)
Boeing
Vancouver, BC · Richmond, BC · CAN - Richmond, Canada
- Full-time
We're looking for an Senior Greenfield Full Stack Developer (Builder) who will help support the end-to-end software delivery. This is first and foremost grounded in Software Developers who…
Added 2 hours ago
RB
Senior Product Manager, AI Solutions
Royal Bank of Canada
Toronto, ON
- Full-time
We are seeking a resourceful and curious Senior Product Manager to lead our work on the Underwrite Assist portfolio within Commercial Banking. In this role, you will be responsible for…
Added 2 hours ago
LC
Senior Analytics Engineer
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
Lightspeed's Data Office is hiring a Senior Analytics Engineer to design and own the data models that drive decisions across financial performance, GTM activities, and product insights.…
Added 2 hours ago
LC
Senior Analytics Engineer
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
Lightspeed's Data Office is hiring a Senior Analytics Engineer to design and own the data models that drive decisions across financial performance, GTM activities, and product insights.…
Added 2 hours ago
Senior Software Engineer, Data Platform
Okta
Toronto, ON
The Data Platform team is responsible for the foundational data services, systems, and data products for Okta that benefit our users. Today, the Data Platform team solves challenges and…

Autodesk

Senior Machine Learning Developer, 3D Geometry & Multimodal AI

Toronto, ON, Canada
Montreal, QC, Canada
ON, Canada
AMER - Canada - Ontario - Toronto - University Ave, Canada

For Canada based roles, we expect a starting base salary between $123,000 and $180,400.

Apply About employer

Applications open in a new tab.

Job details

Pay: For Canada based roles, we expect a starting base salary between $123,000 and $180,400.
Posting language: English · French
Posted: Oct 5, 2026

Original job description

English section of this bilingual listing.

Job Requisition ID #

26WD99904

L'affichage de poste en français suivra / The French job posting follows.

26WD99904, Machine Learning Developer 3D Geometry & Multimodal AI

Position Overview

We are seeking a Senior Machine Learning Developer to design, develop, and deploy machine learning solutions for next-generation AI-powered capabilities within Autodesk products. The ideal candidate has expertise across the machine learning lifecycle, including research, experimentation, data pipelines, model training, evaluation, MLOps, and production deployment.

You will work closely with researchers and developers to develop innovative AI solutions involving 3D geometry, multimodal AI, and generative AI, helping transform research into production-ready product capabilities. You enjoy solving complex technical problems, exploring new ideas, and collaborating across teams to deliver scalable, high-quality machine learning solutions.

Responsibilities

Design, develop, and optimize machine learning models for AI-powered product features involving 3D geometry, multimodal AI, and generative AI
Build and maintain scalable data pipelines and machine learning workflows for data preparation, model training, evaluation, and inference
Work with complex datasets and representations for model training, evaluation, and analysis
Design and implement evaluation methodologies, benchmarks, and experiments to measure model performance, robustness, and quality
Collaborate with researchers and developers to transform experimental ideas into scalable, production-ready product capabilities
Build and maintain MLOps workflows supporting model versioning, deployment, monitoring, and continuous improvement
Analyze model performance, identify failure modes, and implement improvements to enhance model accuracy, reliability, and efficiency
Document and present technical designs, experimental results, and findings to collaborators and leadership

Minimum Qualifications

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Engineering, or equivalent industry experience
5+ years of professional experience developing machine learning solutions
Experience working across the machine learning lifecycle, including research, data pipelines, model training, evaluation, MLOps, and production deployment
Experience working in research or experimental environments with evolving requirements
Proficiency with modern deep learning frameworks (e.g., PyTorch, Hugging Face)
Experience with computational geometry and 3D data (e.g., meshes, B-Rep models)
Experience working with complex data representations, including 2D and 3D geometry
Experience with version control, reproducibility, and deploying machine learning models
Hands-on experience using modern AI/GenAI tools to improve software development, experimentation, or machine learning workflows
Excellent written and verbal communication skills

Preferred Qualifications

Advanced degree (MSc/PhD) in Machine Learning, Computer Science, or a related field
Experience with LLMs or generative AI systems (e.g., fine-tuning, prompting, evaluation, or agentic workflows)
Experience scaling machine learning training and data pipelines (e.g., using Ray or similar frameworks)
Experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform)
Knowledge of the design, manufacturing, AEC, or media & entertainment industries
Experience with Autodesk or similar products (e.g., CAD, CAE, CAM)

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Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $123,000 and $180,400. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

Read the full bilingual original

Job Requisition ID #

26WD99904

L'affichage de poste en français suivra / The French job posting follows.

26WD99904, Machine Learning Developer 3D Geometry & Multimodal AI

Position Overview

Responsibilities

Design, develop, and optimize machine learning models for AI-powered product features involving 3D geometry, multimodal AI, and generative AI
Build and maintain scalable data pipelines and machine learning workflows for data preparation, model training, evaluation, and inference
Work with complex datasets and representations for model training, evaluation, and analysis
Design and implement evaluation methodologies, benchmarks, and experiments to measure model performance, robustness, and quality
Collaborate with researchers and developers to transform experimental ideas into scalable, production-ready product capabilities
Build and maintain MLOps workflows supporting model versioning, deployment, monitoring, and continuous improvement
Analyze model performance, identify failure modes, and implement improvements to enhance model accuracy, reliability, and efficiency
Document and present technical designs, experimental results, and findings to collaborators and leadership

Minimum Qualifications

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Engineering, or equivalent industry experience
5+ years of professional experience developing machine learning solutions
Experience working across the machine learning lifecycle, including research, data pipelines, model training, evaluation, MLOps, and production deployment
Experience working in research or experimental environments with evolving requirements
Proficiency with modern deep learning frameworks (e.g., PyTorch, Hugging Face)
Experience with computational geometry and 3D data (e.g., meshes, B-Rep models)
Experience working with complex data representations, including 2D and 3D geometry
Experience with version control, reproducibility, and deploying machine learning models
Hands-on experience using modern AI/GenAI tools to improve software development, experimentation, or machine learning workflows
Excellent written and verbal communication skills

Preferred Qualifications

Advanced degree (MSc/PhD) in Machine Learning, Computer Science, or a related field
Experience with LLMs or generative AI systems (e.g., fine-tuning, prompting, evaluation, or agentic workflows)
Experience scaling machine learning training and data pipelines (e.g., using Ray or similar frameworks)
Experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform)
Knowledge of the design, manufacturing, AEC, or media & entertainment industries
Experience with Autodesk or similar products (e.g., CAD, CAE, CAM)

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26WD99904, Développeur en apprentissage automatique : géométrie 3D et IA multimodale

Aperçu du Poste

Nous recherchons un développeur senior en apprentissage automatique chargé de concevoir, développer et déployer des solutions d’apprentissage automatique pour les fonctionnalités de nouvelle génération basées sur l’IA au sein des produits Autodesk. Le candidat idéal possède une expertise couvrant l’ensemble du cycle de vie de l’apprentissage automatique, notamment la recherche, l’expérimentation, les pipelines de données, l’entraînement des modèles, l’évaluation, les MLOps et le déploiement en production.

Vous travaillerez en étroite collaboration avec des chercheurs et des développeurs afin de mettre au point des solutions d’IA innovantes impliquant la géométrie 3D, l’IA multimodale et l’IA générative, contribuant ainsi à transformer la recherche en fonctionnalités produit prêtes à être mises en production. Vous aimez résoudre des problèmes techniques complexes, explorer de nouvelles idées et collaborer avec différentes équipes pour fournir des solutions d’apprentissage automatique évolutives et de haute qualité.

Responsabilités

Concevoir, développer et optimiser des modèles d’apprentissage automatique pour des fonctionnalités de produits basées sur l’IA impliquant la géométrie 3D, l’IA multimodale et l’IA générative
Construire et maintenir des pipelines de données et des workflows d’apprentissage automatique évolutifs pour la préparation des données, l’entraînement des modèles, l’évaluation et l’inférence
Travailler avec des ensembles de données et des représentations complexes pour l’entraînement, l’évaluation et l’analyse des modèles
Concevoir et mettre en œuvre des méthodologies d’évaluation, des tests de performance et des expériences pour mesurer les performances, la robustesse et la qualité des modèles
Collaborer avec des chercheurs et des développeurs pour transformer des idées expérimentales en fonctionnalités de produit évolutives et prêtes pour la production
Mettre en place et maintenir des workflows MLOps prenant en charge la gestion des versions, le déploiement, la surveillance et l’amélioration continue des modèles
Analyser les performances des modèles, identifier les modes de défaillance et mettre en œuvre des améliorations pour renforcer la précision, la fiabilité et l’efficacité des modèles
Documenter et présenter les conceptions techniques, les résultats expérimentaux et les conclusions aux collaborateurs et à la direction

Qualifications Minimales

Licence ou master en informatique, apprentissage automatique, ingénierie, ou expérience professionnelle équivalente
Au moins 5 ans d’expérience professionnelle dans le développement de solutions d’apprentissage automatique
Expérience couvrant l’ensemble du cycle de vie de l’apprentissage automatique, y compris la recherche, les pipelines de données, l’entraînement des modèles, l’évaluation, les MLOps et le déploiement en production
Expérience de travail dans des environnements de recherche ou expérimentaux aux exigences en constante évolution
Maîtrise des frameworks modernes d’apprentissage profond (par exemple, PyTorch, Hugging Face)
Expérience en géométrie computationnelle et en données 3D (par exemple, maillages, modèles B-Rep)
Expérience de travail avec des représentations de données complexes, y compris la géométrie 2D et 3D
Expérience en gestion de versions, en reproductibilité et en déploiement de modèles d’apprentissage automatique
Expérience pratique de l’utilisation d’outils modernes d’IA/IA générative pour améliorer le développement logiciel, l’expérimentation ou les workflows d’apprentissage automatique
Excellentes compétences en communication écrite et orale

Qualifications Souhaitées

Diplôme de niveau master ou doctorat (MSc/PhD) en apprentissage automatique, en informatique ou dans un domaine connexe
Expérience avec les grands modèles de langage (LLM) ou les systèmes d’IA générative (par exemple : réglage fin, formulation de prompts, évaluation ou workflows agentiques)
Expérience dans la mise à l’échelle de l’entraînement en apprentissage automatique et des pipelines de données (par exemple, à l’aide de Ray ou de frameworks similaires)
Expérience des plateformes et services cloud (par exemple, AWS, Azure, Google Cloud Platform)
Connaissance des secteurs de la conception, de la fabrication, de l’architecture, de l’ingénierie et de la construction (AEC), ou des médias et du divertissement
Expérience avec Autodesk ou des produits similaires (par exemple, CAO, IAO, FAO)

Learn More

About Autodesk

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

Apply About employer

More about this job

Responsibilities

You will design, develop, and optimize machine learning models for 3D geometry, multimodal AI, and generative AI features within Autodesk products. Additionally, you will build scalable data pipelines and MLOps workflows to ensure the successful deployment and continuous improvement of these models.

Requirements

Candidates must have a Bachelor's or Master's degree in a relevant field and at least 5 years of professional experience in the machine learning lifecycle. Proficiency in deep learning frameworks, computational geometry, and 3D data representations is required.

Skills

Machine Learning
3D Geometry
Multimodal AI
Generative AI
MLOps
PyTorch
Hugging Face
Computational Geometry
Data Pipelines
Model Training
B-Rep Models
Cloud Platforms
AWS
Azure
Google Cloud Platform
Ray

Benefits

Annual cash bonuses
Stock grants

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
3D Geometry
Multimodal AI
Generative AI
MLOps
PyTorch
Hugging Face
Computational Geometry
B-Rep
Data Pipelines
Model Training
Inference
Cloud Computing
AWS
Azure
Google Cloud Platform
Ray
CAD
CAE
CAM
AEC
Software Development
Version Control
Reproducibility
Deep Learning
LLMs
Agentic Workflows
Data Preparation
Model Evaluation
Engineering

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